Fei-Fei Li

PrivHAR: Recognizing Human Actions From Privacy-preserving Lens

Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles

Comments Oral paper presented at European Conference on Computer Vision (ECCV) 2022, in Tel Aviv, Israel

Journal ref Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part IV

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks

Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg

Comments 9 pages, 5 figures

See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation

Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A Lee, Huazhe Xu, Edward Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu

Comments In CoRL 2022. Li and Zhang equal contribution; Gao and Wu equal advising. Project page: https://ai.stanford.edu/~rhgao/see_hear_feel/

Retrospectives on the Embodied AI Workshop

Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu

Observation of fractional topological numbers at photonic edges and corners

Chengpeng Liang, Yang Liu, Fei-Fei Li, Shuwai Leung, Yin Poo, Jian-Hua Jiang

Comments All comments are welcome

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward

Zixian Ma, Rose Wang, Li Fei-Fei, Michael Bernstein, Ranjay Krishna

Comments This paper will be published in Neurips 2022

Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks

Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn

Comments Equal advising and contribution for last two authors

MaskViT: Masked Visual Pre-Training for Video Prediction

Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei

Comments Project page: https://maskedvit.github.io/

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

Comments Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Report page with citation guidelines: https://crfm.stanford.edu/report.html

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli

Comments Accepted as a conference paper at MICCAI (Medical Image Computing and Computer Assisted Intervention) 2022

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan

Comments 28 pages

BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents

Ziang Liu, Roberto Martín-Martín, Fei Xia, Jiajun Wu, Li Fei-Fei

A Study of Face Obfuscation in ImageNet

Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky

Comments Accepted to ICML 2022

Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei

Comments 41 pages including supplementary material. Under review at PNAS

Revisiting the "Video" in Video-Language Understanding

Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles

Comments CVPR 2022 (Oral)

Generalizable Task Planning through Representation Pretraining

Chen Wang, Danfei Xu, Li Fei-Fei

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning

Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel Rubin

Comments Published as a conference paper at CVPR 2022

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer

Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu

Comments In CVPR 2022. Gao, Si, and Chang contributed equally to this work. Project page: https://ai.stanford.edu/~rhgao/objectfolder2.0/

MetaMorph: Learning Universal Controllers with Transformers

Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei

Comments ICLR 2022

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation

Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín

Comments CoRL 2021

Embodied Intelligence via Learning and Evolution

Agrim Gupta, Silvio Savarese, Surya Ganguli, Li Fei-Fei

Comments Video available at https://youtu.be/MMrIiNavkuY

Visual Intelligence through Human Interaction

Ranjay Krishna, Mitchell Gordon, Li Fei-Fei, Michael Bernstein

Comments This is a preprint of the following chapter: Ranjay Krishna, Mitchell Gordon, Li Fei-Fei, Michael Bernstein, Visual Intelligence through Human Interaction, published in Artificial Intelligence for Human Computer Interaction: A Modern Approach, edited by Yang Li and Otmar Hilliges, 2021, Springer reproduced with permission of Springer Nature. arXiv admin note: substantial text overlap with arXiv:1602.04506, arXiv:1904.01121

ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations

Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu

Comments In CoRL 2021. Chang and Mall contributed equally to this work. Project page: https://ai.stanford.edu/~rhgao/objectfolder/

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

Comments Accepted at Conference on Robot Learning (CoRL) 2021. Project website: http://svl.stanford.edu/igibson/

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín

Comments CoRL 2021 (Oral)

Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control

Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu

Comments First two authors contributed equally

iGibson 1.0: a Simulation Environment for Interactive Tasks in Large Realistic Scenes

Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese

Journal ref 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments

Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Li Fei-Fei, Roberto Martín-Martín, Silvio Savarese

Comments 9 pages, 8 figures. Consider citing a newer version (https://arxiv.org/abs/2012.02924) if you are using iGibson

Journal ref IEEE Robotics and Automation Letters, Vol. 5, No. 2, April 2020

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

Situational Fusion of Visual Representation for Visual Navigation

Bokui Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese